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American Electric Power (AEP) is deploying InStep's PRiSM predictive asset analytics software.

With about 80 generating stations and a generating capacity of nearly 38 GW, AEP delivers electricity to more than 5 million customers in 11 states. InStep says its PRiSM self-learning analytic software will help the utility company improve the monitoring of the real-time health and performance of its critical plant equipment assets.

According to the company, PRiSM uses advanced pattern recognition technology to detect when equipment is performing poorly or is likely to fail. The software platform can alert plant personnel of anomalies in time to diagnose and repair issues before potentially costly problems occur. InStep notes identification of equipment problems can provide several tangible benefits for power generation utilities, including increased availability, reliability, production quality and capacity.






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